Difference between revisions of "BCH2024-2012"

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m (Created page with "<div id="APB"> <div class="b1"> R tutorial </div> This is the 2012 BCH2024 course on '''Exploratory data analysis using R''' taught by [mailto:boris.steipe@utoronto.ca Boris S...")
 
 
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Exploratory Data Analysis using R
 
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==Links and Material==
 
==Links and Material==
 
*The course [[R tutorial]]
 
*The course [[R tutorial]]
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Lecture slides
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* [http://biochemistry.utoronto.ca/steipe/abc/CourseMaterials/R_Module_4_Regression.pdf Module 4 - Regression (PDF, 1.9 MB)]
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* [http://biochemistry.utoronto.ca/steipe/abc/CourseMaterials/R_Module_5_HypothesisTesting.pdf Module 5 - Hypothesis Testing (PDF, 2.2 MB)]
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'''R''' scripts for ...
 
'''R''' scripts for ...
* ... [http://biochemistry.utoronto.ca/steipe/abc/CourseMaterials/Module_1.R Module 1]
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* ... [http://biochemistry.utoronto.ca/steipe/abc/CourseMaterials/Module_1.R Module 1 (Landscape)]
* ... [http://biochemistry.utoronto.ca/steipe/abc/CourseMaterials/Module_2.R Module 2]
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* ... [http://biochemistry.utoronto.ca/steipe/abc/CourseMaterials/Module_2.R Module 2 and 3 (EDA, Plotting)]
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* ... [http://biochemistry.utoronto.ca/steipe/abc/CourseMaterials/Module_4_Regression.R Module 4 (Regression)]
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* ... [http://biochemistry.utoronto.ca/steipe/abc/CourseMaterials/Module_5_HypothesisTesting.R Module 5 (Hypothesis Testing)]
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* ... [http://biochemistry.utoronto.ca/steipe/abc/CourseMaterials/Module_6_PCA.R Module 6 (Principal Component Analysis)]
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Data sets:
 
Data sets:

Latest revision as of 18:15, 30 August 2012

Exploratory Data Analysis using R


This is the 2012 BCH2024 course on Exploratory data analysis using R taught by Boris Steipe at the University of Toronto.



Organization

All sessions will take place in MSB 3290.


Meeting times are:

  • Thursday, Aug. 23 14:00-16:00
  • Friday, Aug. 24 14:00-16:00
  • Tuesday, Aug. 28 10:00-12:00
  • Thursday, Aug. 30 14:00-16:00


In addition to the course sessions, there are a number of lab modules for you to work through at home.


Auditors are welcome IF they commit to participating actively in all sessions.


Grading will be 50% course participation and 50% mini project.


Course participation is:

  • Being prepared for and actively participating in class.
  • Contributing to e-mail discussion of questions arising from the course material or the lab modules.


The mini project comprises:

  • Search for an R package that implements an analysis relevant to EDA in the scope your thesis project. Alternatively you can come up with a creative, interesting use of the default R functionality in script form, or as a function that you write.
  • Summarize what you plan to do, eMail me your proposal and have me sign off on the suitability of the proposal.
  • Develop a script that guides a user through installation of the package (or defines your function) and executes a typical use case. Don't forget to include a sample dataset. Make sure your script is extensively annotated with comments and that you include notes on the interpretation of results.
  • Submit your script and sample data to me no later than Friday morning, Aug. 31.

 

 

 

Links and Material

Lecture slides


R scripts for ...



Data sets:



   R on Wikipedia